dotfiles/dot_config/skillshare/skills/customer-journey-map/SKILL.md
Create an end-to-end customer journey map with stages, touchpoints, emotions, pain points, and opportunities. Use when mapping the customer experience, identifying friction points, improving onboarding, or visualizing the user journey.
npx skillsauth add pkking/dotfiles customer-journey-mapInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Map the end-to-end customer experience from awareness through advocacy, identifying emotions, pain points, and improvement opportunities at each stage.
You are creating a customer journey map for $ARGUMENTS.
If the user provides files (interview transcripts, survey data, analytics, support tickets, or existing journey maps), read them first. Use web search to understand the product if a URL is provided.
Define the persona: Who is traveling this journey? Use a specific persona with JTBD, not a generic user.
Map the journey stages (adapt to the product):
| Stage | Description | |---|---| | Awareness | How do they first learn about the product? | | Consideration | What do they evaluate? What alternatives do they compare? | | Acquisition | How do they sign up or purchase? | | Onboarding | First experience with the product — time to value | | Engagement | Regular usage — building habits | | Retention | What keeps them coming back? What might cause churn? | | Advocacy | When and why do they recommend the product to others? |
For each stage, document:
Identify critical moments:
Create the journey map table:
| Stage | Touchpoint | User Action | Emotion | Pain Point | Opportunity | |---|---|---|---|---|---|
Recommend prioritized improvements:
Think step by step. Save as a markdown document. For visual journey maps, suggest the user create one in Miro or FigJam using this analysis as the foundation.
testing
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
data-ai
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
development
Run the full autonomous engineering pipeline end-to-end (plan, work, code review, test, commit, push, open PR, watch CI, fix CI failures until green). Use only when the user explicitly requests hands-off execution of a software task and provides a feature description; do not auto-route casual conversation here.
development
Create an isolated git worktree for parallel feature work or PR review. Use when starting work that should not disturb the current checkout, or when `ce-work` or `ce-code-review` offers a worktree option.